{"id":33484,"updated":"2025-01-22T15:40:16.404696+00:00","links":{},"created":"2025-01-18T23:02:18.827685+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00033484","sets":["1164:2735:2778:2782"]},"path":["2782"],"owner":"1","recid":"33484","title":["Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems"],"pubdate":{"attribute_name":"公開日","attribute_value":"2001-05-10"},"_buckets":{"deposit":"63aab831-4636-4988-b891-262dfd4d8baf"},"_deposit":{"id":"33484","pid":{"type":"depid","value":"33484","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems"},{"subitem_title":"Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2001-05-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Faculty of Science  Niigata University"},{"subitem_text_value":"Faculty of Science  Niigata University"},{"subitem_text_value":"Faculty of Engineering  Niigata University"},{"subitem_text_value":"Faculty of Engineering  Niigata University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Science, Niigata University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Science, Niigata University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Niigata University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Niigata University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/33484/files/IPSJ-MPS01034002.pdf"},"date":[{"dateType":"Available","dateValue":"2003-05-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS01034002.pdf","filesize":[{"value":"602.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c7904725-19cd-474a-81c9-08ae2ceaad4b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2001 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Koji, Ohnishi"},{"creatorName":"Hiroshi, Shutou"},{"creatorName":"Hajime, Sawamura"},{"creatorName":"Masaki, Gota"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Koji, Ohnishi","creatorNameLang":"en"},{"creatorName":"Hiroshi, Shutou","creatorNameLang":"en"},{"creatorName":"Hajime, Sawamura","creatorNameLang":"en"},{"creatorName":"Masaki, Gota","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Genetic codes were found to have emerged as semeiotic culture of hierarchical tRN A-riboorganismic society which had evolved in early intracellular micro-environment (\"semeiotic culture theory\" or \"polytRNA theory\" (Fig.1) on the origin of genetic codes.) Well-mede biomachines such as bee super-organism (= bee eusociety consisting of queens and workers)  animal body (=super-organism consisting of germline and somatic-line unicell diploid animals)  and genetic apparatus were found to have evolved by neural-network-like machinogenesis depends on the society's own specific semeiotic system which is considered to be the society's \"semeiotic cultuer\". Origins and evolution of cognitive and autopoietic characters of various biosystems were discussed  with special emphases on riboorganismic (RAN-)  multi-cellular (nimal-)  and multi-individual (species-) societies  as well as on various semeiotic culture systems including genetic codes (Fig.1)  bee-dance languge (Fig.5)  hormones (in multi-cellular society = animal body  etc.) and pheromones (in \"specia\" or iso-species society)  and primate language systems. Unified for the evolution of general bio-systems was discussed from the aspect of (self-) learning neural network machine (NNwM)  (Figs. 3  4  7). suggesting that every living system could be some type of learning NNwM from which life's active and autopoietic features would emerge.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Genetic codes were found to have emerged as semeiotic culture of hierarchical tRN A-riboorganismic society which had evolved in early intracellular micro-environment (\"semeiotic culture theory\" or \"polytRNA theory\" (Fig.1) on the origin of genetic codes.) Well-mede biomachines such as bee super-organism (= bee eusociety consisting of queens and workers), animal body (=super-organism consisting of germline and somatic-line unicell diploid animals), and genetic apparatus were found to have evolved by neural-network-like machinogenesis depends on the society's own specific semeiotic system which is considered to be the society's \"semeiotic cultuer\". Origins and evolution of cognitive and autopoietic characters of various biosystems were discussed, with special emphases on riboorganismic (RAN-), multi-cellular (nimal-), and multi-individual (species-) societies, as well as on various semeiotic culture systems including genetic codes (Fig.1), bee-dance languge (Fig.5), hormones (in multi-cellular society = animal body, etc.) and pheromones (in \"specia\" or iso-species society), and primate language systems. Unified for the evolution of general bio-systems was discussed from the aspect of (self-) learning neural network machine (NNwM), (Figs. 3, 4, 7). suggesting that every living system could be some type of learning NNwM from which life's active and autopoietic features would emerge.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"3","bibliographicIssueDates":{"bibliographicIssueDate":"2001-05-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"37(2001-MPS-034)","bibliographicVolumeNumber":"2001"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}